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dc.contributor.authorAraujo Granda, Pablo Alejandro
dc.contributor.authorGras Moreu, Anna Maria
dc.contributor.authorGinovart Gisbert, Marta
dc.contributor.authorMoulton, Vincent
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Agroalimentària i Biotecnologia
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned2020-01-10T10:15:30Z
dc.date.available2021-06-01T00:32:32Z
dc.date.issued2020
dc.identifier.citationAraujo, P. [et al.]. INDISIM-Denitrification, an individual-based model for study the denitrification process. "Journal of industrial microbiology and biotechnology", 2019.
dc.identifier.issn1367-5435
dc.identifier.urihttp://hdl.handle.net/2117/174565
dc.description.abstractDenitrification is one of the key processes of the global nitrogen (N) cycle driven by bacteria. It has been widely known for more than one hundred years as a process by which the biogeochemical N-cycle is balanced. To study this process, we develop an individual-based model called INDISIM-Denitrification. The model embeds a thermodynamic model for bacterial yield prediction inside the individual-based model INDISIM and is designed to simulate in aerobic and anaerobic conditions the cell growth kinetics of denitrifying bacteria
dc.description.sponsorshipThe fnancial support of the Ecuador National Secretary of Higher Education, Science, Technology and Innovation (SENESCYT) (Grant Convocatoria Abierta 2011—no. 94-2012), to the Universidad Central del Ecuador (Research Project no. 26 according to RHCU.SO.08 No. 0082-2017 in ofcial resolution with date March 21th, 2017) and the Plan Nacional I+D+i from the Spanish Ministerio de Educación y Ciencia (MICINN, CGL2010-20160). We would also like to thank Dr. David Richardson and Dr. Andrew Gates for helpful discussions at early stages in this project and for providing us with the full dataset presented in Felgate et al.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Modelització matemàtica
dc.subject.lcshSoil organic matter
dc.subject.otherDenitrification: bacterial yield prediction
dc.subject.otherIndividual-based model
dc.subject.otherThermodynamic Electron Equivalents Model
dc.subject.otherNetLogo
dc.subject.otherINDISIM
dc.subject.otherAgrotech
dc.titleINDISIM-Denitrification, an individual-based model for study the denitrification process
dc.typeArticle
dc.subject.lemacNitrificació
dc.contributor.groupUniversitat Politècnica de Catalunya. UMA - Unitat de Mecanització Agrària
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOCOM-SC - Grup de Biologia Computacional i Sistemes Complexos
dc.identifier.doi10.1007/s10295-019-02245-8
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s10295-019-02245-8#citeas
dc.rights.accessOpen Access
local.identifier.drac25958870
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN//CGL2010-20160/ES/MODELIZACION BASADA EN EL INDIVIDUO INDIVIDUAL BASED MODELLING IBM PERSPECTIVA MULTIDISCIPLINAR EN MICROBIOLOGIA APLICADA ALIMENTOS MEDIOAMBIENTE Y SALUD/
local.citation.authorAraujo, P.; Gras, A.; Ginovart, M.; Moulton, V.
local.citation.publicationNameJournal of industrial microbiology and biotechnology
local.citation.volume47
local.citation.startingPage1
local.citation.endingPage20


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